Jobs

Engineering

Business Intelligence (BI) Engineer

In a Nutshell:

GADITEK is searching for an experienced data lover to join our team as Business Intelligence (BI) Engineer and help us transform accurate and congruent data into actionable information and knowledge.

As a BI Engineer you will be responsible for building and implementing robust data organization structures, build new data models/marts from the ground up, design scalable data pipelines, implement ETL processes, and optimize data processes while working closely with our data scientists and BI analysts.

Why is this role important for GADITEK’s work?

GADITEK’s mission is to support its brands with the right talent so they can take us to new levels of excellence in existing and non-existing areas; and in the process, make them more valuable and relevant in the marketplace.

This role is crucial in ensuring the availability of accurate, reliable, congruent and readily accessible data. BI engineers work closely with BI analysts and customers and turn data into critical information and knowledge that we can leverage to make sound business decisions.

Once you are here, you will:

  • Conceive architectures, build and launch new data models and data marts that provide intuitive analytics to the company.
  • Design, build and implement extremely efficient, reliable and scalable data pipelines (using live caching, Message Queues, Pub/Sub methodologies etc) to move data into and out of the Data Warehouse.
  • Implement ETL processes, selecting and integrating any Big Data tools and frameworks required to provide requested capabilities.
  • Ensure optimal data replication, performance, high availability, backup and recovery processes exist to meet requirements, reduce cost and adhere to standards.
  • Work closely with data scientists and database developers to optimize and productize data acquisition, storage and sampling processes and provide solution about data organizing infrastructure.

What does GADITEK offer you?

GADITEK is a new age company that is focused on just one thing: keeping you relevant in the market. We work hard. Harder than most other places of work in the same hours. But we also purposefully find ways to allow our teams to enjoy work together.  As a result, we’re among the top IT and technology companies in Pakistan.

Working with us, you will never have to worry about being left behind in the market or losing your market value. You will always remain market competitive, work on challenging new projects that require you to put your knowledge and experience to create amazing solutions that you’re proud of and which help us go to new places.

Relevant Experience:

  • 3 years of work experience in related job role.
  • Proficient understanding of distributed computing principles, advanced database concepts, data warehousing, data migration, and data pipelines.
  • Experience in working with and handling big data stores including  NoSQL. Solid DB skills, data mining expertise are preferred.
  • Strong programming experience in Java, Python or another language is a preferred/plus.
  • Experience with Cloudera/MapR/Hortonworks or any other such environment is a plus.
  • Knowledge of various ETL techniques and frameworks, such as Flume.
  • Experience with various messaging systems (such as Kafka or RabbitMQ) , batch system (e.g. Hadoop), stream processing (eg Spark) and querying languages like HiveQL is preferred.
  • Familiarity with search/recommendation/classification applications and domains preferred.
  • Experience with Big Data ML toolkits, such as Mahout, Spark-ML will be considered a big plus.
  • Proficient understanding of distributed computing principles, Advanced database concepts, data warehousing, data migration and data pipelines.
  • Experience in working with and handling big data stores including  NoSQL. Solid DB skills, data mining expertise are preferred.
  • Strong programming experience in Java, Python or another language is a preferred/plus.
  • Experience with Cloudera/MapR/Hortonworks or any other such environment is a plus.
  • Knowledge of various ETL techniques and frameworks, such as Flume.
  • Experience with various messaging systems (such as Kafka or RabbitMQ), batch system (e.g. Hadoop), stream processing (eg Spark) and querying languages like HiveQL is preferred.
  • Familiarity with search/recommendation/classification applications and domains preferred.
  • Experience with Big Data ML toolkits, such as Mahout, Spark-ML will be considered a big plus.
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